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of development. You are motivated to develop and optimize cutting edge single cell ribosome profiling techniques and you have affinity with bioinformatics. We are looking for a colleague that meets the following
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, bioinformatics, and mass spectrometry data analysis. You like a challenge and you have a problem-solving mindset. You have good statistical skills and experience with analyzing metabolomic and metagenomic
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-derived neurons that generalize over different patients. To test candidate intervention strategies that normalize these phenotypes. In addition to these core activities, you will perform bioinformatic
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researchers. CML has two Departments: Industrial Ecology (CML-IE) and Environmental Biology (CML-EB). Presently, about 150 fte (including postdocs and PhDs) are employed at CML. CML further collaborates with TU
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researchers. CML has two Departments: Industrial Ecology (CML-IE) and Environmental Biology (CML-EB). Presently, about 150 fte (including postdocs and PhDs) are employed at CML. CML further collaborates with TU
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patients. The candidate will work closely with a multidisciplinary team consisting of colleagues from biomedical sciences, medicine, bioinformatics, and statistics, both within and outside UMC Utrecht
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, bioinformatics, and statistics, both within and outside UMC Utrecht (including the Dutch Center for RNA Therapeutics and Charles River Laboratories). Informal yet close collaboration with fellow PhD candidates
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and outside the project. Required educational backgroud A MSc degree in technical medicine, bioengineering, biomedical science, immunology, biotechnology, (bio)analytical chemisty, bioinformatics
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European CLARIFY project and continues this research with a postdoc, PhD student and lab technician. You will closely collaborate with clinicians to define clinically relevant questions, digitize pathology
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Your research will be conducted at the Department of Urology, the Department of Pathology and Clinical Bioinformatics at Erasmus MC in Rotterdam, and in collaboration with the Computational